Privacy-first PDF tools, built for the modern web
WayPDF is a new kind of PDF toolkit. Every operation runs inside your browser using WebAssembly and modern JavaScript APIs. Your documents never cross the network.
100%
Client-Side Processing
0
Server Uploads
15+
Free Tools
Unlimited
Usage
Our mission: make PDF tools private by default
We believe document processing should not require uploading sensitive files to third-party servers. That is why every WayPDF tool runs locally in your browser. From merging to OCR to encryption — it all happens using your device's own computing power.
WebAssembly Powered
High-performance processing using compiled C++ libraries running in your browser.
Open Web Standards
Built with standard Web APIs. No plugins, no extensions, no proprietary software.
Zero Data Leakage
Your files stay in your browser. No uploads, no logs, no data collection.
GDPR Compliant
No personal data is processed or stored. Fully compliant out of the box.
Our Journey
From an idea to a full-featured PDF toolkit
The idea
WayPDF was conceived as a privacy-first alternative to cloud-based PDF tools.
First tools
Launched with merge, split, and rotate — all running locally in the browser.
OCR & Security
Added local OCR processing, PDF encryption, and unlock capabilities.
15+ Tools
Expanded to 16 tools covering conversion, security, and document organization.
AI Assistant
AI-powered PDF assistant coming — running locally on device.
Meet the Team
Built by developers, designers, and privacy engineers who believe document tools should be private by default
Shivam B.
Founder & Lead Developer
Full-stack engineer and privacy advocate. Previously built document processing tools at scale. Passionate about bringing server-side capabilities to the browser using WebAssembly.
N. Narendra
Product & Design
Product designer focused on making complex document workflows simple and accessible. Believes great UX should never come at the cost of user privacy.
Miss Unknown
OCR & WASM Engineer
Specialist in browser-based machine learning and WebAssembly optimization. Built the local OCR pipeline that runs entirely on-device using Tesseract.js.